{"id":"W2949882253","doi":"10.1109/mocast.2019.8741674","title":"Simple Multi-Function Fractional-Order Filter Designs","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transconductance; Transistor; CMOS; Electronic engineering; Cadence; Filter (signal processing); Topology (electrical circuits); Transistor model; Computer science; Function (biology); Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002213508,0.0005759778,0.0004279714,0.000522406,0.0003144161,0.0007419929,0.0007374957,0.0007984514,0.003924792],"category_scores_gemma":[0.0003522336,0.0001865843,0.000535644,0.0003141934,0.0001638473,0.0006653671,0.0002401537,0.0004230082,0.00110729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346977,"about_ca_system_score_gemma":0.0001915483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002302317,"about_ca_topic_score_gemma":0.0005020055,"domain_scores_codex":[0.9998283,0.00002311594,0.00001675527,0.00004226951,0.00006854479,0.00002094587],"domain_scores_gemma":[0.9998631,0.00003012946,0.0000219144,0.00002791238,0.00004555348,0.0000113845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005122958,0.0001077841,0.0004919583,0.0005712386,0.0001303107,0.0004436558,0.0001680313,0.03388241,0.5938099,0.04830752,0.001630585,0.3199444],"study_design_scores_gemma":[0.0001566521,0.001509776,0.003365177,0.0001162874,0.0003243393,0.003363,0.00005493029,0.4925122,0.3695078,0.02881475,0.1001324,0.0001426144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0396396,0.001053484,0.9502266,0.00008002036,0.000139907,0.00007594239,0.0001169416,0.0009536563,0.007713861],"genre_scores_gemma":[0.4639197,0.0007231294,0.5250531,0.0001222719,0.0001490008,0.0001082267,0.0001734331,0.00007068542,0.009680334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003924792,"threshold_uncertainty_score":0.01312971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001018365658535,"score_gpt":0.2320152227967983,"score_spread":0.2120050391402129,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}